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通过工业控制中的螺母自动扳紧系统的实例 ,阐述一个基于神经网络的在线控制系统 ,它利用神经网络的在线自学习 (通过修改神经网络各节点的权值来实现 ) ,能在不了解前向控制部分的具体传递函数的情况下 ,使控制系统按设计的方式运行。
Through the nut control system in industrial control, an online control system based on neural network is elaborated. It uses online self-learning of neural network (by modifying the weight of each node in neural network) In the case of a specific transfer function to the control section, the control system is operated in a designed manner.